Table REF  compares the performance of our enhanced hand feature model (TSM\(_{EHF}\) ) to an equivalent unenhanced TSM [1]} model (both T=8 frames, with a temporal stride, \(\tau \) =8) on a segment and extended sequence level. We further compare our model to an implementation of the similar hand attention (TSM\(_{HA}\) ) work by Kobayashi \(\)We note that Kobayashi \(\)  operate in an encoder/decoder structure, however, we re-implement their work following our method outlined in section REF  as well as utilise a temporally aware backbone structure to match our work. [2]} and a baseline single frame ResNet-50 model. We find our model outperforms the backbone TSM model and the hand attention model by Kobayashi.
